Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Darko Pevec"'
Publikováno v:
Computers and Electronics in Agriculture. 161:260-271
Decision support systems, data analysis and data mining have become significant tools for improving business in professional world. The emerging technologies are making the precision agriculture omnipresent and allow potential for enriching it with c
Autor:
Darko Pevec, Igor Kononenko
Publikováno v:
Applied Intelligence. 42:790-804
In this paper we explore prediction intervals and how they can be used for model evaluation and discrimination in the supervised regression setting of medium sized datasets. We review three different methods for making prediction intervals and the st
Autor:
Darko Pevec, Igor Kononenko
Publikováno v:
Intelligent Data Analysis. 18:873-887
In this article we compare and put to test two families of non-parametric approaches to constructing prediction intervals for arbitrary regression models in the supervised learning framework. It is often assumed for the errors to be independent and i
Autor:
Darko Pevec, Igor Kononenko
Publikováno v:
ICDM Workshops
In this paper we explore the possibility of automatic model selection in the supervised learning framework with the use of prediction intervals. First we compare two families of non-parametric approaches of constructing prediction intervals for arbit
Current machine learning algorithms perform well in many problem domains, but in risk-sensitive decision making – for example, in medicine and finance – experts do not rely on common evaluation methods that provide overall assessments of models b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc3b79b07afa55c89f3f79be8d4a7082
https://doi.org/10.4018/978-1-4666-1806-0.ch003
https://doi.org/10.4018/978-1-4666-1806-0.ch003
Publikováno v:
Adaptive and Natural Computing Algorithms ISBN: 9783642202810
ICANNGA (1)
ICANNGA (1)
Current machine learning algorithms perform well on many problem domains, but in risk-sensitive decision making, for example in medicine and finance, common evaluation methods that give overall assessments of models fail to gain trust among experts,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b258b51dab6293fa9ec9de5be92f537
https://doi.org/10.1007/978-3-642-20282-7_3
https://doi.org/10.1007/978-3-642-20282-7_3